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How to make money on the internet by creating no-code apps

how to make money online by creating apps with no code

Estimated reading time: 18 minutes

With the post-pandemic digital business boom, you may have wondered how to make money on the internet and how you can take advantage of this new economy.

In this article we will approach one of the ways, in a little explored niche, the application creation, and we'll explain why.

It's no secret that we are in the age of technology. After all, everyone uses some app or software on a daily basis.

With that you can already imagine that this is a market that turns a lot of money. And yet, I can tell you that this is an underexplored niche with many opportunities.

This text is the most important content of this blog. In it, we will show you the essence of what we will seek to bring in content here at No-Code Start-up.

Let's talk about the top 6 ways to make money on the internet by creating apps, and best of all: Not knowing how to program.

As a bonus, I will introduce you to a concept that will change your life: The ladder of prosperity.

Great opportunity to make money online

Well, I'm sure you've heard countless stories of people making a lot of money on the internet, either through digital marketing with sales of products with an online store, digital courses or other means. All of this has intensified even more post-pandemic.

The internet is full of opportunities and it is a market that grows more and more every year. Working with digital businesses can greatly improve your quality of life, as you will be able to achieve financial freedom, with your own income and geographic freedom, working from home (or traveling).

Well, I think it's pretty clear to everyone that the digital market has a sea of opportunities on how to make money.

How to begin?

One of the main initial decisions is the choice of niche, as you must aim at a market with hot opportunities.

And I'll give you the golden tip! From one of the fastest growing and underexplored niches: Application creation.

Nowadays technology is used to solve thousands of different problems. People and companies need to create software to scale their business.

That's why, currently, the most sought-after professionals on the market are programmers. After all, they are capable of creating technology.

The problem is that to work in the area is an arduous path!

There are years of programming studies, projects and a lot of practical learning to become a good professional. And it's not for everyone...

The good news is that you don't need to know how to program to create apps! All this thanks to no-code, a recent term but with more and more space in the market.

In recent years, dozens of companies creating no-code tools, where we can bring apps to life just by dragging blocks and structuring all the logic behind it.

With the advanced no-code platforms, it is possible to create practically any type of application, from virtual stores, marketplaces and even elaborate SaaS (Software As a Service).

Yea! Today it is possible to create apps and systems without needing a programming language.

Well, without further ado, let's get to know the ways to make money on the internet by creating apps?

The No-Code Start-Up Prosperity Ladder

For that, I want to present a concept that changed my way of thinking and that is our driver here in our content and in our Youtube channel: The Ladder of Prosperity.

She shows how a person can grow their wealth over a lifetime. Each step has its challenges and difficulties, but when reaching them, projects get bigger and financial prosperity increases exponentially.

We have also adapted the ladder to the world of nocode, making it easier for you to understand how to make money on the internet with no-code. But come here with me and I'll explain it to you in detail:

Step 1 – Employee

How to make money on the internet by creating apps as an employee no-code

Rung 01 is where most people are or start.

The first step is the traditional work model, where we exchange our hours worked for a salary in a company.

Within the no-code world, we can use it to create powerful automations or internal softwares.

Benefits

  • It is the “easiest” and safest way to start earning money.
  • It's ideal to start with, as you learn essential skills in a professional environment, in a controlled environment.

Considerations

  • As we have limited time, our earnings are also limited – You can even level up and be promoted, but in most cases your financial gain is from the hour worked.
  • It may happen that we do not have financial and geographic freedom depending on the vacancy.
  • In addition, we are subject to all the problems we already know: salary, boss, and all known problems in the business world.

Step 2 – Freelancer No-Code

How to make money with no-code freelance

Climbing up to the next rung is where you work as a no-code freelancer.

In this case you still exchange your working hours for a value, but now you own your own company and perform software development using no-code tools.

There are hundreds of companies, startups and people looking for no-code freelancers, the opportunities are huge.

Benefits

  • Possibility to work more hours and receive more for it. Or work less if you want, have fewer responsibilities (there are no fixed hours).
  • Now you have more professional freedom.
  • You can build a personal brand and increase your ticket.

Considerations

  • Along with freedom comes risk – You have to worry about getting more projects, because you don't have the salary falling normally.
  • Here, in this case, you are still tied to your working hours.

Challenges to climb this step:

  • self management
  • Create a strong personal brand
  • Sales (on a small scale)

Step 3 – Mentoring

How to make money on the internet by creating apps giving mentorships no-code

On step 3 you offer your experience and expertise for consulting sessions in the no-code world.

It requires you to have great technical mastery of what you are proposing to mentor in addition to a strong positioning as a reference to get clients.

Benefits

  • Here you still earn per hour, but usually a much higher amount as it is a specialized service and 1 - 1.
  • You can sell mentorship packages, creating a revenue stream.

Considerations

  • A lot of project experience is required.
  • It's interesting to have a strong personal brand and contact network.

Step 4 – No-code Agency – Software House no-code

How to make money on the internet by creating apps with software house no-code

As a feelancer you manage to run a limited number of projects, it's time to move forward on the ladder of prosperity, expanding the number of projects by creating your own no-code agency.

At this point you have people running the projects for you, so the number of projects under your management can grow.

But big responsibilities such as hiring, people management and process management are starting to be important.

Benefits

  • Expansion and increase in revenue
  • You can outsource services and

Considerations

  • Increased complexity in project management
  • greater responsibility

Challenges to climb this step:

  • Better defined professional processes
  • sales processes
  • Hiring and managing people

Step 5 – Micro-SaaS

Ladder of Prosperity No-Code Start-Up micro-saas no-code

So far, we've dealt a lot with services, which are usually directly linked to hours worked, either by you or your employees. On this step 05, we started to detach hours worked from the revenue generated with products.

Micro-SaaS is a term that has been gaining strength in recent years, as it is a type of project that requires less effort from the entrepreneur, since it solves a small problem, usually in a specific niche.

As it is a “product”, the word scale starts to make more sense, as your efforts do not grow as the number of customers grows and that is where beauty lives.

Benefits

  • Work with “products” and gain scale
  • Positioning yourself in a micro niche makes it easier to create a valuable product
  • Create systems with less complexity and generate recurring revenue

Considerations

  • Deal validation can be an arduous process and will take many failures to get it right
  • In most cases there is no intention to scale and grow exponentially because here we focus on just one niche.

Step 6 – Startup

No-Code Start-Up Prosperity Ladder

Finally, the last step on the prosperity ladder and one of the ways to make money on the internet with no-code is to create your own Startup.

A startup is nothing more than a business that can scale exponentially and be highly profitable. It can be a SaaS, marketplace, ecommerce, platform or even a digital bank.

Examples of the largest Brazilian startups – Nubank, Gympass, Quinto Andar and Hotmart.

Citing as an example the startup of the founders of No-Code Start-Up (Matheus Castelo and Celso Camarano), you can get to know Ikigai Experience, today the largest digital diving agency in Latin America.

Benefits

  • You can create SaaS / micro SaaS to have recurring income with products.
  • You will be able to exponentially scale your business,

Considerations

  • Increased complexity of creating a successful product
  • It requires great market validation and depending on the niche and solution, high investment.
  • It involves many areas.

Thoughts on the no-code Prosperity Ladder

It is important to comment that one step is not better than the other, each step has its characteristics, strengths and points of consideration.

It's also not because the ladder is divided this way that you need to start at the bottom and climb the ladder step by step. Nor does it mean that you cannot be on two steps at the same time.

On your financial journey, ask yourself:

  • What scale do you want to reach? On a financial level
  • What lifestyle do you want? What kind of problems do you want to solve?

This ladder can be applied to many different business niches. However, we strongly believe that the no-code is the most powerful way to move between all these steps!

That's why here at No-Code Start-Up, the ladder of prosperity will be the basis for all our content. It is the core of our business, and our mission is to help you take every step forward with no-code.

Right, but now that we understand the ladder. Let's explore each step further and find out how to make money on the internet by creating applications with no-code?

How to make money on the internet by creating no-code apps

Let's go to the options:

How to make money on the internet by creating apps in a company

Right, but now that we understand the ladder. Let's explore each step further and find out how to make money creating apps?

The first way is to use no-code within companies. In this case we have two possibilities:

1 – If you already work in a company, you can use no-code to create robust automations or create powerful internal softwares for your team.

Examples of internal projects:

  • Automate filling out spreadsheets or sending emails
  • Automate reports
  • Automate communication with customers
  • Create a job portal for hiring

2 – The second way is to look for vacancies in a company that is hiring nocode programmers. It could be to create apps, websites or automations.

As programmer labor is very expensive, many companies are starting to invest in no-code tools. Over the years, the number of vacancies for nocode programmers will explode.

company vacancies

  • bubble programmer
  • Work as a SAP Appgyver (SAP) developer
  • Power apps with many vacancies due to easy access to the tool by companies

Average no-code Bubble 2022 developer salary in Brazil

how much does no-code developer earn?
Source: TV source code

No-code is still new to the business world, but over the years the market will be more and more into the No-Code universe.

How to make money on the internet by creating apps like Freelancer no-code

On the next step, it's time to become a freelancer and earn money on the internet by developing apps and softwares. In this case you can earn money:

  • Creating applications for small regional businesses;
  • Creating Apps for Startups
  • Creating apps for Brazilian No Code Agencies
  • Creating apps for international projects

Here the opportunities are practically limitless! Because there are many companies in need of technology creators, such as startups and no-code agencies.

In Brazil, you can find opportunities as a no-code developer in no-code communities, such as the No-Code Start-Up community itself, positioning yourself as an expert on social networks or partnering with no-code agencies.

In addition, it is also possible to find projects on freelancing platforms such as Upword and Fiverr.

In the international market, the opportunities are even greater, where you can take on projects such as freelancing and earn in dollars.

It is possible to work in partnership with some freelancer platforms focused on no-code such as WeLoveNoCode and Codemap.

And as in Brazil, you can also partner with no-code agencies, such as AirDev, one of the largest no-code agencies in the world.

Make money on the internet by mentoring no-code

On this step you use your knowledge and experience to mentor in the world of nocode

You can mentor:

  • application planning
  • Technical support
  • monetization methods
  • Market strategy

Mentorships are a great way to increase the value of your hour. Since it is a personalized 1-1 service and requires greater experience in the subject. In international opportunities, mentorships can reach U$D100 or even U$D150 an hour.

To find opportunities of this type, you need to have a strong personal brand, a good portfolio and start building a network of contacts.

For this, it is important from the beginning of your journey to focus on developing a good portfolio, ideally on your own personal website and developing a relationship of reference on social networks such as Twitter and Linkedin.

Scale your projects and billing with your no-code Software house

On the next step, it's time for you to go a step further and create an Agency. At this stage, it is necessary to organize the house, have good management and sales processes. In addition to knowing how to hire and manage people.

That way you will be able to multiply your project. Being a freelancer, you will have a limit on your earnings, as you only depend on your own time. With a Software House No Code you can get more projects, hire developers and manage your company.

To create an agency is a big step, because here, in addition to nocode's skills, you need to have numerous business and people management skills.

There are no shortcuts to creating your own software house no-code, you will need to have gone through the freelancer step or have worked in a company developing applications to increase your chances of success.

Seeking business mentors can be of great help at this stage, after all you are actually setting up a company and a lot of knowledge will now be needed. Mentors can be the fastest way to success.

How to make money on the internet by creating your Micro-SaaS application

A micro-saas must solve a real and clear problem and to be “micro”, it is often specific and niche. They are perfect for creating a less complex project, but which generates a good recurring financial return.

In order to earn money on the internet with your Micro-SaaS, it will be important that you go through the problem and solution validation steps.

You will need to understand well:

  • What problem are you proposing to solve?
  • Who in fact is the main person who suffers from this problem.
  • How big is that market.
  • If there are competitors
  • What sets you apart and why do you

Some examples of Micro-SaaS:

Micro-SaaS is a trending term as it is a business that can be managed with a lean team and allow for a more relaxed lifestyle compared to startups.

You can learn more about this world and ways to earn money on the internet by creating Micro-SaaS applications by following our channel and also the Micro-SaaS community by Bruno Okamoto, space 100% focused on Micro-SaaS.

Create your own startup with no-code

As well as for the development of Micro-SaaS, the no-code fits perfectly for the creation of new startups, as its creative power, innovation and flexibility are impressive.

We believe that in a few years, ALL technology-based startups (applications and softwares) will be born from no-code tools.

With weeks or months we can create applications and softwares. So we can create technology to solve people's problems and have our own startup.

You can create a startup focused on:

  • A SaaS (Software as a Service) or Micro SaaS to solve a specific problem and charge per subscription;
  • An ecommerce to sell products;
  • A Marketplace
  • Or any other technology...

As an example we cite the Ikigai Experience, a digital agency created by Matheus and Neto, fully funded by no-code and which today earns thousands of reais annually from the sale of diving experiences.

To make money with your startup, as well as with your micro-saas, it is important that your idea is validated and solves a real problem.

Many startups die for not finding a “Product Market Fit”, which is nothing more than finding the ideal product for the problem you are trying to solve.

By finding your niche and your “FMP”, your business will be able to scale exponentially. But we cannot fail to mention that the creation of a startup is a complete process that requires numerous areas of knowledge and action, not just technology.

Conclusion

I hope this content has opened your mind about the possibilities of how to make money on the internet by creating apps and that you have understood the power of no-code for this.

If you liked this content, be sure to subscribe to our YouTube channel and share this content.

Want to start learning no-code and join this revolution?

Meet our free bubble course and start building complete apps today

How to make money on the internet with no-code?

1. Employee in a company
2. As a freelancer
3. Giving mentorships no-code
4. Creating your software house no-code
5. Creating your micro-saas
6. Creating your start-up

What is the no-code prosperity ladder?

Concept created by No-Code Start-Up that demonstrates the possible paths for a no-code professional. Each path has its benefits and consideration points, generating different levels of income and lifestyles.

org

Watch our Free MasterClass

Learn how to make money in the AI and NoCode market, creating AI Agents, AI Software and Applications, and AI Automations.

Matheus Castelo

Known as “Castelo”, he discovered the power of No-Code when he created his first startup entirely without programming – and that changed everything. Inspired by this experience, he combined his passion for teaching with the No-Code universe, helping thousands of people create their own technologies. Recognized for his engaging teaching style, he was awarded Educator of the Year by the FlutterFlow tool and became an official Ambassador for the platform. Today, his focus is on creating applications, SaaS and AI agents using the best No-Code tools, empowering people to innovate without technical barriers.

Also visit our Youtube channel

Learn how to create AI Applications, Agents and Automations without having to code

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The WhatsApp API is one of the main solutions for companies that want to scale their customer service and communication automation. 

WhatsApp, being one of the most popular messaging apps in the world, allows direct and efficient interactions with customers. However, when it comes to automation and integration, using the WhatsApp API becomes essential.

So, there are two main options for this integration: the Official WhatsApp Business API and the Unofficial APIs. But which one should you choose? 

In this article, we’ll explore the differences, advantages, disadvantages, pricing models, and costs to help you make the best decision for your project. Keep reading and find out which WhatsApp API makes the most sense for your business!

Types of WhatsApp available on the market: discover the options

types of whatsapp available in the market

Before we talk about WhatsApp APIs, it is important to understand the three main types of WhatsApp available:

Personal WhatsApp

WhatsApp Personal is the traditional version of the app, used by billions of people around the world. Intended for individual users, it does not include business-oriented features or automation.

WhatsApp BusinessVersion 

Version aimed at small and medium businesses. This version has features such as a product catalog, automatic messages and business profiles, but still relies on manual interactions. 

Furthermore, it allows the simultaneous use of two numbers on the same device, one in the personal application and the other in the Business application, in a completely legal manner and in line with Meta's guidelines.

WhatsApp Business API

Unlike previous versions, WhatsApp Business API is not an application, but a cloud-based solution that allows WhatsApp integration to different systems, enabling automation and personalization of interactions.

Companies that manage a large volume of messages use this API to optimize communication with customers, ensuring efficiency and scalability. With this solution, it is possible to:

  • automate the sending of messages and notifications;
  • to create chatbots for customer service;
  • integrate WhatsApp with CRMs, ERPs and other business platforms;
  • use artificial intelligence to personalize interactions.

How does the WhatsApp Business API work?

The WhatsApp Business API acts as a bridge between different systems, allowing softwares to communicate automatically. Since it is not an application installed on the cell phone, the entire operation takes place in the cloud, ensuring scalability and reliability for companies that need high-performance communication.

Although initially aimed at developers, today there are several solutions that simplify the implementation of the WhatsApp Business API, making it accessible to companies of different sizes.

Now that we understand the concept, let's explore the differences between the Official WhatsApp API and Unofficial WhatsApp APIs.

Official API vs. Unofficial API: Know the main differences

official api vs unofficial api differences

Businesses can choose between two types of WhatsApp API for integration:

  • Official WhatsApp Business API (provided directly by Meta or licensed companies);
  • Unofficial APIs (provided by third parties, without any connection to Meta, but within the law).

Next, we will understand the main differences between them.

Official WhatsApp Business API

The Official WhatsApp Business API is provided by Meta (Facebook) itself or by licensed companies. Meta recently began offering this service directly to end users, without the need for licensed intermediaries. 

This API can be integrated directly via Facebook's Business Manager (BM), ensuring security and compliance with Meta's policies. Among the main features of the Official API:

  • integration via Facebook Business Manager;
  • mandatory use of pre-approved message templates to start conversations;
  • billing based on conversations initiated;
  • restriction on sending messages outside of Meta's rules;
  • lower risk of blocking, as long as you follow the guidelines/

Please note that Meta does not allow unrestricted sending of messages. To start a conversation, it is mandatory to use approved message templates, ensuring that the contact complies with WhatsApp policies. The template categories are:

  • marketing: promotions, coupons and offers;
  • utility: order confirmations, delivery tracking;
  • authentication: sending verification codes;
  • service: user-initiated messages at no additional cost.

After the first template is sent, the conversation can continue normally for up to 24 hours without the need for a new template.

And how does billing work on the Official API?

The pricing for the Official WhatsApp API is based on conversations initiated and varies depending on the message category:

  • marketing messages: about R$ 0.36 per conversation started;
  • utility messages: approximately R$ 0.04 per conversation initiated;
  • authentication messages: around R$ 0.015 per conversation initiated;
  • client initiated messages: at no additional cost.

Other important points about billing include the 24-hour validity for each conversation initiated by the company, which means that if it is necessary to continue the interaction after this period, a new paid template will be required. 

Additionally, starting in April 2025, authentication and utility messages sent within this 24-hour window will no longer be charged.

Unofficial APIs

Unofficial APIs are solutions offered by third parties, with no direct relationship with Meta. Although they are not licensed, many of these APIs are completely legal and follow security standards. The main characteristics of Unofficial APIs include: 

  • simplified integration via QR Code;
  • allows sending messages without the need for pre-approved templates;
  • fixed price per integrated WhatsApp number;
  • greater flexibility for shipping and automation;
  • higher risk of ban in case of spam or inappropriate use.

Unlike the Official API, which requires template approval and follows strict rules, Unofficial APIs allow messages to be sent freely, without category restrictions or prior approval. This allows for more dynamic contact with customers, ideal for companies that need freedom in communication.

And how does the billing work? Unofficial APIs?

The pricing of Unofficial APIs varies depending on the provider. Some operate with fixed monthly plans, while others charge per connected WhatsApp number.

  • some companies offer plans starting from R$99 per integrated WhatsApp number;
  • others offer packages for multiple numbers, reducing the cost per account;
  • There are open-source options, which can be used free of charge, but require their own infrastructure.

Despite the freedom offered by Unofficial WhatsApp APIs, it is essential to consider the risks involved. Since there is no direct link to WhatsApp, these APIs are more prone to blocking, especially when used for mass sending without the proper consent of users.

Furthermore, Meta support and warranty are not available, which means that any technical issues or blockages will depend solely on the API provider.

Sending messages without the recipients' authorization can also result in restrictions, compromising the company's continued communication with its customers.

So which API to choose?

which whatsapp api to choose

Choosing between the Official WhatsApp API and Unofficial WhatsApp APIs depends on your business needs. While the Official API provides greater security and compliance, Unofficial APIs offer more freedom and predictable costs.

Evaluate your options based on your message volume, need for automation, and level of risk you are willing to take.

To learn more about automation and other efficient strategies for integrate chatbots, automatic notifications and artificial intelligence to your business, explore more at our YouTube channel and in the NoCode StartUp website.

Artificial intelligence is transforming the way we interact with technology, and AI agents are one of the most powerful advancements in this area. However, to make these agents truly effective, it’s essential to train them with data specific to your business.

In this article, we will explore how to create an AI agent using the RAG technique (Retrieval-Augmented Generation) to train models with custom information. You will learn three practical ways to implement this in your own project. 

Ready? Happy reading! 

What is an AI agent and how does it work with RAG?

What is an AI agent and how does it work?

Before we get into the practical part, it is important to understand the concept of an AI agent and how it can be improved using RAG.

Basically, an AI agent is a system that can interpret commands, process information, and generate responses autonomously. To do this, it needs three fundamental elements:

  • AI model: the agent is based on models such as GPT, Llama or Claude, responsible for interpreting and generating text based on learned patterns;
  • Base prompt: these are the instructions that define how the agent should behave and structure its responses;
  • memory: essential for AI to remember previous interactions. Some agents have both short-term and long-term memory, allowing the conversation to continue.

In addition to these features, an AI agent can be even more efficient when using the RAG (Retrieval-Augmented Generation) technique, as we mentioned earlier. This means that, instead of relying exclusively on the model's prior knowledge, it can query external databases, such as documents, PDFs, Notion pages, or spreadsheets. 

In this way, an agent trained with RAG becomes an expert in specific content, ensuring more precise and contextualized responses.

Method 1: Creating an agent with Dify

method 1 creating an agent with dify

Now that you understand the basics, let's get to the practical part: how to create an AI agent trained with your own data!

One of the easiest and most effective ways to create a RAG-trained agent is by using Difyi. This tool allows you to integrate knowledge bases into your assistant quickly and intuitively.

To train your agent at Dify, follow the step by step below:

  • access the “Knowledge Base” tab within the Dify platform;
  • upload your documents, such as PDFs, HTML files, spreadsheets or web pages;
  • Dify processes the files and transforms them into numeric vectors, converting the textual content into a format that AI can interpret efficiently.

This process is known as embedding, in which the tool structures the data on a vector basis, allowing the AI to search and retrieve the most relevant information whenever a question is asked.

Additionally, Dify makes it easy to create virtual databases by organizing knowledge into chunks of information. This way, when a user asks the agent a question, the agent quickly identifies which chunk of text best fits the desired answer.

With Difyi, you can create specialized agents for different purposes, such as:

  • customer support assistants, who access FAQs and technical manuals;
  • customer service chatbots, which answer questions about products and services;
  • sales agents, which use strategic information to personalize approaches.

The best part? Dify automates this entire process behind the scenes, making implementation simple and practical.

Method 2: Creating an agent with OpenAI Assistants and RAG

method 2 creating an agent with openai assistants

Another efficient way to train an AI agent with RAG is to use OpenAI Assistants. This solution allows you to create custom assistants, define specific behaviors, and incorporate documents so that the AI can query and respond accurately.

Unlike Dify, which automates much of the process, OpenAI offers greater control over the agent’s settings. To create your assistant using this tool, follow the steps below:

  • access the OpenAI platform and go to the “Assistants” tab;
  • create a new wizard, defining a name, description and specific instructions;
  • choose an AI model, such as GPT-4 Turbo, to ensure more complete and contextual answers;
  • Upload files that he will use as reference, such as technical manuals, internal documents, or knowledge bases.

When documents are added to the platform, OpenAI transforms this content into a vector database. This way, the agent can consult the information whenever necessary, without relying solely on the model's pre-trained knowledge. 

This allows it to provide more personalized and up-to-date responses without requiring a complete AI re-processing. Additionally, OpenAI manages all the infrastructure needed to store and retrieve this information, making it easy to implement for those who don’t want to set up their own database.

One of the main advantages of this approach is its ease of implementation, as OpenAI takes care of the technical part, making the process simple and intuitive. In addition, the model guarantees high accuracy, combining the power of GPT-4 Turbo with specific information about your business, making the assistant much more effective. 

If your goal is to create a specialized AI agent without having to set up an advanced technical environment, OpenAI Assistants can be a great choice.

Method 3: Creating an agent with N8N and Supabase

method 3 creating an agent with n8n and supabase

The third way to create an AI agent trained with RAG is by using the integration between N8N and Supabase. This approach allows greater control over the data and optimizes the search for relevant information within the vector database.

While tools like Dify and OpenAI Assistants simplify the process, using N8N in conjunction with Supabase offers more versatility and reduces operational costs by allowing the framework to be fully configured and managed within your own environment.

To create an AI agent trained with this combination, follow the steps below:

  • configure the vector database in supabase to store the reference documents;
  • upload the files that the agent will use as a knowledge base, such as manuals, FAQs or technical ebooks;
  • integrate Supabase with N8N to enable AI to query data and provide contextualized answers;
  • develop automated flows in N8N to structure agent interactions with users;
  • optimize agent responses by ensuring that they can access the most relevant blocks of information within the database.

But why use N8N and Supabase? with RAG?

Unlike other solutions, this approach allows for an advanced level of customization and control over the vector database. When a user asks the agent a question, it fetches the most relevant vector of data from Supabase, ensuring that the answer is based on the stored documents.

Additionally, N8N allows you to connect the AI agent to different applications, such as Whatsapp, Slack and Google Drive, expanding the possibilities of use and automation. This flexibility makes the model ideal for companies that need a highly specialized agent.

Among the main advantages of this implementation, the following stand out:

  • greater control over datas, allowing adjustments and customizations as needed;
  • cost reduction, as Supabase replaces paid solutions for vector storage;
  • advanced automation, with intelligent flows and integrations in N8N;
  • scalability, allowing the knowledge base to grow according to business needs;
  • greater efficiency, as the agent accesses information directly from the vector database, without relying solely on the AI model.

If you are looking for flexibility and cost reduction, N8N + Supabase is a powerful solution for training specialized AI agents with RAG.

Conclusion

Training an AI agent with your own data is an essential strategy for obtaining more accurate responses aligned with the context of your business. With RAG, you can transform internal files and documents into structured knowledge for AI, optimizing processes and improving the user experience.

If you want to dive deeper into the topic and learn how to create your own AI agents, check out the complete N8N course at NoCode Startup and take your automation to the next level!

Imagine you have a super-intelligent assistant trained based on all the knowledge available on the internet. However, when it comes to information specific to your business, it may not have direct references. So, how do you overcome this limitation?

One of the most effective ways to improve your assistant's intelligence is to train it with custom data, such as documents, articles, and internal files. 

This technique is known as RAG (Retrieval-Augmented Generation) and allows AI assistants to combine pre-existing knowledge with specific information to provide more accurate and useful answers.

Continue reading to better understand how this approach can transform the use of AI in your business.

How does RAG (Retrieval-Augmented Generation) work?

How does RAG work?

Now that we understand the concept of RAG (Retrieval-Augmented Generation), let's explore how it works in detail. 

Unlike traditional AI assistants that simply generate answers based on previously trained knowledge, RAG searches for information from external sources and combines that data with its prior knowledge to provide more accurate and relevant answers. 

The process can be divided into three main steps:

Ask the AI model

The user asks the AI assistant a question, just as they would in ChatGPT or another traditional chatbot.

Information Search (Retrieval)

The AI assistant queries a specific database, such as PDFs, websites, internal documents, or a business knowledge base. It retrieves the most relevant information to answer the question.

Augmented Generation

With the data retrieved, AI refines and structures the response by combining information from the knowledge base with its own linguistic model. This ensures a contextualized, accurate and relevant response.

This method is highly efficient as it allows AI to provide more personalized responses based on internal data. Additionally, the technology can leverage product documentation, support knowledge bases, and even company policies to ensure accurate and relevant information.

how does rag generation increase work

However, unlike a conventional chatbot, which responds based only on its original training, a RAG model can be constantly updated with new information, without the need for massive retraining.

In other words, this allows the AI to be highly dynamic and evolve progressively as new content is added, ensuring greater accuracy and relevance in responses.

For example, within the NoCode community, we provide assistants that use RAG to answer questions about tools such as make up, Diff, N8N and Bubble.

Furthermore, these assistants have been trained with specific documentation for these platforms, which allows them to provide even more detailed and accurate answers to students, thus facilitating learning and resolving technical queries.

5 Benefits of using RAG

Benefits of using RAG

Now that you understand how RAG works, let's explore the main benefits that this technology can bring to companies and users:

1. More accurate and contextualized responses

RAG enables AI assistants to query up-to-date information in real time, making responses more relevant and detailed.

2. Automation and efficiency

With the ability to access specific knowledge bases, AI reduces the need for constant human support, optimizing time and resources.

3. Continuous learning without the need for retraining

Unlike traditional AI models, which need to be constantly trained and retrained to learn new information, RAG can simply query updated databases.

4. Customization for different businesses

Companies can tailor AI to answer industry-specific questions by training the assistant with technical manuals, internal knowledge bases, and other relevant documents.

5. Applying RAG in customer support

In addition to academic and educational use, companies across a variety of sectors are using RAG to improve customer support.

Imagine a technology company that sells complex softwares. Customers frequently contact support with questions about specific features. 

With an AI assistant trained with RAG, a company can feed the AI with its internal knowledge base, technical manuals, and FAQs. This allows the agent to answer questions accurately and quickly, helping to reduce the need for human intervention and streamline customer support.

How to apply RAG in your business?

Companies from different segments can take advantage of this technology to improve internal processes, customer service and task automation. Below, check out some practical strategies for applying RAG to your business.

1. Identify your company's main needs

Before integrating RAG, evaluate which areas of your business can benefit from this technology. Ask yourself the following questions: 

  • Does customer support receive a lot of repetitive questions?
  • Does your team need to access technical documents frequently?
  • Is there a large database that could be better utilized?
  • Could internal training be optimized with an AI assistant?

2. Choose the right data sources

The great advantage of RAG is its ability to search for information from external sources. To ensure accurate and reliable answers, it is essential to select the best data repositories. Some options include:

  • technical documentation and product manuals;
  • FAQs and internal knowledge bases;
  • articles, research and case studies;
  • structured data from CRMS and ERPS;
  • pdf files, spreadsheets and notion.

3. Integrate RAG with your existing tools

For best results, RAG should be connected to the platforms your team already uses. Some ways to integrate include:

  • Chatbots and virtual assistants: AI trained to answer recurring questions and provide technical support;
  • Management systems (CRM/ERP): AI can access customer data to provide more personalized responses;
  • E-learning and corporate training: intelligent assistants that help employees access learning materials quickly;
  • E-commerce and customer service: chatbots that check inventory, return policies and product recommendations.

4. Evaluate and optimize 

Implementing RAG doesn’t end with the initial setup. It’s essential to monitor AI performance by analyzing metrics such as:

  • response accuracy rate;
  • user satisfaction;
  • reduction of service time;
  • most frequently asked questions and opportunities for improvement.

With this information, you can improve the AI database and ensure that the answers become increasingly accurate.

Conclusion

Whether it’s to improve customer support, automate processes or optimize internal knowledge management, RAG is a powerful and affordable solution for companies in different segments. 

With this technology, AI agents can access specific knowledge bases, improve the user experience and reduce the need for extensive training.

If you want to learn how to create intelligent AI assistants using N8N, check out NoCode Startup's complete course. In it, you will have access to practical training on automation and data integration to make your business' AI even more efficient.

Explore more about the N8N Course – NoCode Startup and start transforming your company with artificial intelligence! 

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